Deloitte & Databricks partner to boost NZ organisations with AI

Deloitte New Zealand has entered into a strategic alliance with Databricks aimed at advancing the data and artificial intelligence capabilities of organisations across New Zealand.

The collaboration brings together Deloitte's industry expertise with Databricks' Data Intelligence Platform, seeking to deliver scalable, cloud-based solutions tailored for advanced analytics, machine learning, and AI-driven insights.

Market context

Businesses in New Zealand are facing increasing pressure to modernise their data platforms and leverage data-driven insights to drive efficiency and growth. This new partnership between Deloitte and Databricks is intended to assist organisations in meeting these evolving demands by making advanced data tools and cloud architecture more accessible.

Clients of Deloitte will now have access to Databricks' Lakehouse architecture as well as new Agent Bricks tools, which are designed to deliver industry-specific solutions in areas such as supply chain management, customer experience, and regulatory compliance.

Statements from Deloitte and Databricks

Roger Lee, Deloitte NZ's AI & Data Lead, commented, "This alliance with Databricks represents a pivotal step in our commitment to help New Zealand organisations become more resilient and digitally enabled. Leveraging the Databricks Data Intelligence Platform alongside our industry-focused delivery experience means we can support clients to unlock greater value from their data and accelerate AI-driven transformation."

Carol Brown, Databricks NZ Country Manager, highlighted the local impact of the alliance. Brown said, "Partnering with Deloitte creates significant opportunities to support the digital ambitions of Kiwi organisations. As more businesses seek to modernise, our platform and Deloitte's advisory skillset can help solve complex data challenges and enable innovation at scale."

Industry relevance

The alliance is designed to prepare New Zealand enterprises for an environment where data-driven decisions and AI adoption are key competitive factors. It addresses the challenge many organisations face in moving from legacy systems to modern, agile cloud-based architectures. This includes improving the quality and security of data, increasing operational efficiency, and supporting regulatory adherence.

Deloitte's clients in a range of sectors, including supply chain, customer experience, and compliance, will have the opportunity to leverage solutions that are customised for their industry requirements, using the tools and resources provided by Databricks.

Commitment to digital transformation

The partnership is being positioned as part of a wider commitment to fostering resilience and capability among New Zealand businesses as they adapt to technological changes. The two companies have stated their objective is to enable local organisations to not only survive but thrive amid digital disruption.

Lee added, "By bringing together best-in-class technology with deep advisory capability, we're helping clients drive both productivity and innovation. This is essential in a market where expectations for digital services and efficient operations have never been higher."

Brown concurred, stating, "Supporting Kiwi organisations on their data journeys is central to our mission. This alliance enables us to reach a broader range of industries and help them lay the foundations for long-term digital capability."

Regional significance

The alliance arrives during a period of rapid change and increasing competition in the Australian and New Zealand technology landscape, with heightened emphasis on digital transformation, AI integration, and cloud adoption. The partnership's stated focus includes helping clients build secure, scalable, and compliant data environments that support both immediate business needs and future strategic ambitions.

Databricks' Lakehouse and Agent Bricks solutions will supplement Deloitte's advisory and implementation services, strengthening the support offered to clients looking to upgrade their data platforms and adopt new AI applications.